20241122
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@@ -1744,12 +1744,27 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 7,
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"id": "f0608de5-07ae-458c-999e-60968314f058",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-11-18T07:24:22.978299Z",
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"iopub.status.busy": "2024-11-18T07:24:22.977549Z",
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"iopub.status.idle": "2024-11-18T07:24:23.255535Z",
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"shell.execute_reply": "2024-11-18T07:24:23.254995Z",
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"shell.execute_reply.started": "2024-11-18T07:24:22.978234Z"
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},
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"tags": []
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import openpyxl\n",
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@@ -1769,7 +1784,7 @@
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" list2.append(dict1[k]['name']) \n",
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" list2.append(dict1[k]['sex'])\n",
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" list2.append(dict1[k]['unit'])\n",
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" list2.append(dict1[k]['phone'])\n",
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" #list2.append(dict1[k]['phone'])\n",
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" i = 0\n",
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" if 'bmi' in dict1[k].keys():\n",
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" list2.append(dict1[k]['height']['成绩'])\n",
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@@ -1980,20 +1995,14 @@
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" i+=1"
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]
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},
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{
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"cell_type": "markdown",
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"id": "76c5c17a-462d-4a7b-95a5-6b895f5a25dc",
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"metadata": {},
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"source": [
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"# 2024年体质检测"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a51dadfb-30e7-40f3-a437-321aa986a10f",
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"metadata": {},
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"### 北海体检情况汇总"
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"# 北海体检情况汇总"
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]
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},
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{
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@@ -2061,16 +2070,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 158,
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"execution_count": null,
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"id": "28825d80-9123-4ec5-b107-9ad133f11a82",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-04-11T03:17:59.468194Z",
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"iopub.status.busy": "2024-04-11T03:17:59.467979Z",
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"iopub.status.idle": "2024-04-11T03:17:59.981566Z",
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"shell.execute_reply": "2024-04-11T03:17:59.981079Z",
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"shell.execute_reply.started": "2024-04-11T03:17:59.468179Z"
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},
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"tags": []
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},
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"outputs": [],
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@@ -2102,10 +2104,209 @@
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"wb.save(filename) "
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]
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},
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{
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"cell_type": "markdown",
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"id": "76c5c17a-462d-4a7b-95a5-6b895f5a25dc",
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"metadata": {},
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"source": [
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"# 2024年体质检测"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b638855a-6540-44af-8f1c-796535a02a50",
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"metadata": {},
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"source": [
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"## 体测人员导入"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "c9262823-f492-4934-a0ce-f8f80c4a1bea",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-11-21T06:38:27.978576Z",
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"iopub.status.busy": "2024-11-21T06:38:27.977760Z",
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"iopub.status.idle": "2024-11-21T06:38:28.260893Z",
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"shell.execute_reply": "2024-11-21T06:38:28.260411Z",
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"shell.execute_reply.started": "2024-11-21T06:38:27.978502Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/北海人员202410.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"for n in range(3, sheet.max_row+1):\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value\n",
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" dict1['sex'] = sheet.cell(n, 3).value\n",
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" dict1['unit'] = sheet.cell(n, 6).value\n",
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" dict1['phone'] = sheet.cell(n, 5).value\n",
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" dict1['birth'] = sheet.cell(n,4).value\n",
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" person[code] = dict1\n",
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"filename = 'data/北海炼化人员2024.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "bf58deff-7f90-4828-976d-a78858326853",
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"metadata": {},
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"source": [
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"## 生成读卡系统文件"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "ffd34b08-40fd-45c5-a2d3-33c460c7b1dd",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-11-15T08:58:30.529702Z",
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"iopub.status.busy": "2024-11-15T08:58:30.528869Z",
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"iopub.status.idle": "2024-11-15T08:58:30.546247Z",
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"shell.execute_reply": "2024-11-15T08:58:30.545156Z",
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"shell.execute_reply.started": "2024-11-15T08:58:30.529616Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import json\n",
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"\n",
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"filename = 'data/北海炼化人员2024.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" dict2 = {}\n",
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" dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n",
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" list1.append(dict2)\n",
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"json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n",
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"\n",
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"# 将 json 数据写入文件\n",
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"with open(\"data/card_北海炼化人员2024.json\", \"w\",encoding = 'utf-8') as file:\n",
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" file.write(json_data) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "33633f3a-e2ff-4703-850f-a5b82c0a6280",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "202dcc9d-1f36-43c4-ad8d-8ee8c9db90ce",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2024-11-21T07:01:27.546392Z",
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"iopub.status.busy": "2024-11-21T07:01:27.545774Z",
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"iopub.status.idle": "2024-11-21T07:01:27.560036Z",
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"shell.execute_reply": "2024-11-21T07:01:27.559152Z",
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"shell.execute_reply.started": "2024-11-21T07:01:27.546333Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"6\n",
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"6\n"
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]
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}
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],
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"source": [
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"import json\n",
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"import time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/北海炼化人员2024.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/marks_20241121.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys(): \n",
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" item_name = result[3] \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" re_ta[user]['sex'] = dict1[user]['sex'] \n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" re_ta[user]['rq'] = result[5].replace('/','-')\n",
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" #re_ta[user]['sub_unit'] = dict1[user]['sub_unit'] \n",
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" re_ta[user].setdefault(item_name,{})\n",
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" #if item_name =='bmi':\n",
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" # height = result[4].split(',')[0]\n",
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" # weight = result[4].split(',')[1]\n",
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" # re_ta[user]['height']['成绩'] = height\n",
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" # re_ta[user]['weight']['成绩'] = weight\n",
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" # re_ta[user]['bmi']['成绩'] = result[4]\n",
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" #else:\n",
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" # re_ta[user][item_name]['成绩'] = result[4]\n",
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" re_ta[user][item_name]['成绩'] = result[4]\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_北海炼化人员2024.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d3e0075b-7a93-4454-860b-ba523e63ea08",
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"id": "7e5d9787-e982-4afd-8d48-83766f5ed1d0",
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"metadata": {},
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"outputs": [],
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"source": []
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@@ -2127,7 +2328,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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